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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CLU is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
5830.1
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
24724.8
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
23421.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
18324.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
17716.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
17402.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
17391.6
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
15918.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
15777.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
14807.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
14556.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
14475.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
14281.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
14248.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
13603.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
13377.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
13265.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
13135.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
13101.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
13041.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
12802.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
12574.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
12571.9
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
12348.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
12313.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
12254.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
11916.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
11801.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
11734.2
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
11544.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
11541.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
11497.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
11457.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
11388.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
11271.2
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
11256.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
11250.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
11054.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
11019.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
10765.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
10523.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
10348.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
10315.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
10265.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
10155.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
10149.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
10081.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
10060.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
10049.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
10020.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
9905.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
9853.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
9807.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
9788.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
9742.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
9694.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
9618.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
9555.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
9520.8
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
9425.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
9374.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
9332.3
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
9326.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
9234.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
9000.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
8921.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
8860.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
8809.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
8738.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
8483.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
8480.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
8406.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
8225.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
8224.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
8131.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
8118.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
8090.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
7927.0
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
7913.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
7897.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
7818.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
7735.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
7687.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
7641.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
7593.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
7564.1
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
7562.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
7537.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
7459.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
7455.4
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
7430.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
7372.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
7332.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
7279.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
7258.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
7246.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
7232.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
7214.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
7173.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
7164.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
7131.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
7092.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
7088.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
7077.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
7024.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
6966.6
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
6929.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
6884.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
6870.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
6852.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
6832.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
6820.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
6813.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
6774.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
6767.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
6700.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
6663.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
6656.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
6597.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
6596.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
6566.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
6565.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
6560.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
6515.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
6483.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
6482.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
6477.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
6444.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
6425.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
6424.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
6419.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
6398.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
6361.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
6339.7
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
6263.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
6144.6
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
6138.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
6130.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
6121.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
6044.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
6014.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
6001.9
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
5992.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
5951.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
5906.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
5904.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
5897.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
5884.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
5825.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
5811.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
5676.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
5673.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
5651.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
5633.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
5594.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
5585.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
5560.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
5554.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
5520.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
5509.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
5477.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
5447.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
5433.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
5401.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
5378.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
5369.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
5349.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
5319.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
5273.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
5272.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
5249.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
5244.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
5214.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
5189.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
5174.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
5169.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
5129.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
5079.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
5073.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
5030.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
4997.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
4995.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
4975.2
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
4896.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
4888.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
4886.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
4867.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
4854.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
4838.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
4809.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
4807.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
4802.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
4791.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
4787.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
4785.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
4771.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
4765.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
4710.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
4708.9
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
4705.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
4703.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
4693.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
4692.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
4683.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
4652.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
4640.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
4633.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
4622.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
4590.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
4580.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
4573.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
4569.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
4568.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
4536.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
4532.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
4467.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
4463.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
4455.6
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
4452.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
4445.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
4419.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
4402.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
4389.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
4371.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
4328.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
4326.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
4324.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
4303.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
4275.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
4230.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
4221.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
4199.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
4177.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
4153.8
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
4030.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
4006.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3981.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3955.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
3944.7
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3934.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
3899.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3847.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
3842.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
3819.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
3814.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
3765.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
3743.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
3731.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
3726.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
3691.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
3662.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
3660.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
3656.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
3650.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
3621.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3608.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
3601.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
3564.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
3464.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
3440.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
3422.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
3357.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
3339.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
3338.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
3314.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
3306.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
3302.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
3286.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
3275.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
3236.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
3205.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
3187.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
3162.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3155.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
3134.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
3096.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
3071.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3053.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
3048.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
3038.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3017.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
2983.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2976.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
2967.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2928.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
2885.5
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
2881.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2835.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
2829.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2801.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2764.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2760.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2686.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2682.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2659.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2644.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2643.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2631.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2615.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
2612.1
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2588.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2583.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2568.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2552.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2548.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
2519.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2495.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2458.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2426.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2397.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2391.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2374.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2351.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2333.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2300.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2295.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2262.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2207.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
2202.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2188.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2163.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2120.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2068.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
2063.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2010.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1973.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1921.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1911.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1837.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1777.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1736.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1716.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1664.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1642.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1640.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1638.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1630.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1614.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1569.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1544.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1520.7
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1428.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1367.0
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1230.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1184.0
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1152.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1147.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1117.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1098.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1015.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
953.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
928.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
888.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
844.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
721.4
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
672.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
649.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
560.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
302.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
118.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
110.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
80.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CLU is potential prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1983.7
Number of samples
231
Samples
Sample
Description
pTPM
DO45187
32 years, female, NA, stage:1, alive, 1260 days
7249.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
6785.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
6514.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
6435.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
6365.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
5833.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
5667.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
4839.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
4814.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
4622.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
4476.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
4386.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
4381.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
4366.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
4186.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
3980.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
3817.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
3817.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
3814.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
3747.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
3719.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
3710.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
3644.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
3637.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
3632.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
3610.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
3591.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
3565.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
3487.1
DO48723
73 years, male, NA, stage:1, alive, 600 days
3478.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
3409.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
3408.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
3389.8
DO48716
71 years, male, NA, stage:2, alive, 720 days
3267.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
3219.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
3183.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
3173.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
3151.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
3135.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
3111.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
3107.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
3106.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
3103.7
DO23524
71 years, female, NA, stage:2, alive, 1050 days
3102.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
2994.6
DO227643
79 years, male, NA, stage:2, alive, 1260 days
2983.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
2977.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
2963.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2906.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
2876.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
2876.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
2834.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2832.9
DO23517
62 years, male, NA, stage:2, alive, 1200 days
2817.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
2719.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
2684.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2652.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
2628.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
2568.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
2542.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
2525.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
2508.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
2476.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
2437.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2436.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
2433.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
2406.9
DO45247
31 years, female, NA, stage:2, alive, 210 days
2402.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2394.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
2388.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2367.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
2355.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2341.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
2327.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
2314.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2293.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
2291.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2287.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
2284.0
DO48727
81 years, female, NA, stage:2, dead, 390 days
2259.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2249.3
DO23535
67 years, male, NA, stage:1, alive, 960 days
2245.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
2238.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
2234.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
2223.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
2223.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
2222.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
2192.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
2149.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2106.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
2095.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
2075.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
2063.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
2056.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2050.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
2044.3
DO45096
69 years, male, NA, stage:2, dead, 1290 days
2039.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
2038.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
2029.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2026.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
1973.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
1955.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1936.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
1911.2
DO45183
72 years, female, NA, stage:2, dead, 570 days
1900.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1896.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1884.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1861.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
1846.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
1828.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1813.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
1790.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
1763.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1750.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1727.9
DO50805
72 years, male, NA, stage:2, alive, 690 days
1718.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
1710.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
1696.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
1694.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1628.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
1613.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
1599.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
1588.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
1583.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
1579.4
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1569.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
1562.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
1524.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
1519.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
1518.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1514.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
1513.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
1494.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
1480.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
1443.1
DO50829
78 years, male, NA, stage:3, alive, 570 days
1438.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
1435.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
1429.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
1420.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
1408.5
DO50778
60 years, male, NA, stage:4, alive, 630 days
1405.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1381.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1371.2
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1367.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
1343.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
1324.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
1318.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1291.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
1288.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1282.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
1281.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
1268.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1263.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
1234.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
1230.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
1228.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
1219.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
1218.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
1209.0
DO23545
67 years, male, NA, stage:2, dead, 570 days
1204.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1198.3
DO50804
81 years, male, NA, stage:2, alive, 720 days
1180.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
1163.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1158.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1154.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
1136.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
1102.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
1096.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1096.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
1086.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
1079.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
1052.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
1048.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1024.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
1003.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
1003.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1001.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
999.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
987.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
963.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
961.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
960.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
943.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
912.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
909.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
905.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
887.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
876.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
872.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
871.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
861.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
859.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
837.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
818.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
812.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
805.8
DO45265
73 years, male, NA, stage:3, alive, 1020 days
805.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
766.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
749.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
735.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
735.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
721.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
703.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
650.4
DO48757
68 years, female, NA, stage:3, alive, 480 days
630.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
601.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
600.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
566.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
561.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
558.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
500.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
498.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
424.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
416.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
369.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
357.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
270.3
DO50844
75 years, male, NA, stage:4, alive, 300 days
266.5
DO48747
62 years, male, NA, stage:3, alive, 540 days
243.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
220.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
215.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
179.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
177.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
165.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
137.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
108.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
102.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
95.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
89.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
72.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
17.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
2.0
313
Tumor
1.5
125
Tumor
1.4
375
Tumor
1.3
192
Normal
1.1
425
Tumor
1.0
743
Tumor
1.0
131
Tumor
0.9
663
Tumor
0.8
363
Tumor
0.8
217
Tumor
0.8
224
Normal
0.8
391
Tumor
0.8
671
Tumor
0.7
958
Normal
0.6
1044
Normal
0.6
697
Tumor
0.6
745
Tumor
0.6
815
Tumor
0.6
463
Tumor
0.5
354
Normal
0.5
355
Tumor
0.5
862
Normal
0.5
343
Tumor
0.5
516
Normal
0.5
922
Normal
0.5
741
Tumor
0.5
635
Tumor
0.5
921
Tumor
0.5
191
Tumor
0.5
851
Tumor
0.4
384
Normal
0.4
394
Normal
0.4
713
Tumor
0.4
744
Normal
0.4
444
Normal
0.4
221
Tumor
0.4
113
Tumor
0.4
685
Tumor
0.4
392
Normal
0.4
742
Normal
0.3
976
Normal
0.3
823
Tumor
0.3
545
Tumor
0.3
937
Tumor
0.3
647
Tumor
0.3
975
Tumor
0.3
716
Normal
0.3
813
Tumor
0.2
342
Normal
0.2
938
Normal
0.2
863
Tumor
0.2
723
Tumor
0.2
223
Tumor
0.2
665
Tumor
0.2
884
Normal
0.2
268
Normal
0.2
218
Normal
0.2
352
Normal
0.2
478
Normal
0.2
817
Tumor
0.2
672
Normal
0.2
818
Normal
0.1
388
Normal
0.1
386
Normal
0.1
124
Normal
0.1
492
Normal
0.1
524
Normal
0.1
284
Normal
0.1
567
Tumor
0.1
393
Tumor
0.1
558
Normal
0.1
185
Tumor
0.1
494
Normal
0.1
882
Normal
0.1
916
Normal
0.1
186
Normal
0.1
474
Normal
0.1
484
Normal
0.1
918
Normal
0.1
367
Tumor
0.1
257
Tumor
0.1
366
Normal
0.1
926
Normal
0.1
328
Normal
0.1
536
Normal
0.1
137
Tumor
0.1
538
Normal
0.1
517
Tumor
0.1
1022
Normal
0.0
331
Tumor
0.0
715
Tumor
0.0
462
Normal
0.0
572
Normal
0.0
616
Normal
0.0
636
Normal
0.0
664
Normal
0.0
466
Normal
0.0
162
Normal
0.0
368
Normal
0.0
297
Tumor
0.0
514
Normal
0.0
214
Normal
0.0
954
Normal
0.0
448
Normal
0.0
917
Tumor
0.0
283
Tumor
0.0
1028
Normal
0.0
126
Normal
0.0
298
Normal
0.0
983
Tumor
0.0
146
Normal
0.0
415
Tumor
0.0
977
Tumor
0.0
816
Normal
0.0
868
Normal
0.0
482
Normal
0.0
698
Normal
0.0
147
Tumor
0.0
912
Normal
0.0
222
Normal
0.0
618
Normal
0.0
451
Tumor
-0.1
526
Normal
-0.1
523
Tumor
-0.1
445
Tumor
-0.1
332
Normal
-0.1
228
Normal
-0.1
535
Tumor
-0.1
314
Normal
-0.1
111
Normal
-0.1
914
Normal
-0.1
964
Normal
-0.1
852
Normal
-0.1
527
Tumor
-0.1
615
Tumor
-0.1
915
Tumor
-0.1
327
Tumor
-0.1
498
Normal
-0.1
142
Normal
-0.1
112
Tumor
-0.1
383
Tumor
-0.1
1026
Normal
-0.1
814
Normal
-0.1
641
Tumor
-0.1
1045
Tumor
-0.1
422
Normal
-0.1
982
Normal
-0.1
1032
Normal
-0.1
452
Normal
-0.1
414
Normal
-0.1
968
Normal
-0.1
424
Normal
-0.1
978
Normal
-0.1
574
Normal
-0.1
196
Normal
-0.1
472
Normal
-0.1
385
Tumor
-0.1
662
Normal
-0.1
1042
Normal
-0.1
738
Normal
-0.1
227
Tumor
-0.1
195
Tumor
-0.1
447
Tumor
-0.1
212
Normal
-0.1
396
Normal
-0.1
141
Tumor
-0.1
426
Normal
-0.1
148
Normal
-0.1
135
Tumor
-0.2
362
Normal
-0.2
881
Tumor
-0.2
412
Normal
-0.2
666
Normal
-0.2
546
Normal
-0.2
491
Tumor
-0.2
395
Tumor
-0.2
573
Tumor
-0.2
924
Normal
-0.2
488
Normal
-0.2
161
Tumor
-0.2
785
Tumor
-0.2
428
Normal
-0.2
746
Normal
-0.2
866
Normal
-0.2
553
Tumor
-0.2
138
Normal
-0.2
427
Tumor
-0.2
1014
Normal
-0.2
1041
Tumor
-0.2
956
Normal
-0.2
187
Tumor
-0.2
376
Normal
-0.2
435
Tumor
-0.2
311
Tumor
-0.2
312
Normal
-0.2
465
Tumor
-0.2
421
Tumor
-0.2
364
Normal
-0.2
487
Tumor
-0.2
423
Tumor
-0.2
461
Tumor
-0.2
714
Normal
-0.2
261
Tumor
-0.2
1046
Normal
-0.2
172
Normal
-0.2
554
Normal
-0.2
277
Tumor
-0.2
534
Normal
-0.2
864
Normal
-0.2
434
Normal
-0.2
568
Normal
-0.2
213
Tumor
-0.2
981
Tumor
-0.2
858
Normal
-0.3
944
Normal
-0.3
344
Normal
-0.3
686
Normal
-0.3
232
Normal
-0.3
943
Tumor
-0.3
628
Normal
-0.3
286
Normal
-0.3
471
Tumor
-0.3
557
Tumor
-0.3
114
Normal
-0.3
278
Normal
-0.3
564
Normal
-0.3
913
Tumor
-0.3
128
Normal
-0.3
132
Normal
-0.3
262
Normal
-0.3
464
Normal
-0.3
528
Normal
-0.3
563
Tumor
-0.3
416
Normal
-0.3
696
Normal
-0.3
722
Normal
-0.3
456
Normal
-0.3
911
Tumor
-0.3
824
Normal
-0.3
878
Normal
-0.3
188
Normal
-0.3
963
Tumor
-0.3
952
Normal
-0.3
518
Normal
-0.4
874
Normal
-0.4
648
Normal
-0.4
642
Normal
-0.4
777
Tumor
-0.4
1015
Tumor
-0.4
778
Normal
-0.4
627
Tumor
-0.4
756
Normal
-0.4
365
Tumor
-0.4
883
Tumor
-0.4
786
Normal
-0.4
1016
Normal
-0.4
272
Normal
-0.4
468
Normal
-0.4
728
Normal
-0.4
513
Tumor
-0.4
446
Normal
-0.4
966
Normal
-0.4
617
Tumor
-0.4
953
Tumor
-0.4
925
Tumor
-0.4
356
Normal
-0.4
136
Normal
-0.4
432
Normal
-0.4
493
Tumor
-0.4
436
Normal
-0.4
455
Tumor
-0.4
483
Tumor
-0.4
431
Tumor
-0.5
1027
Tumor
-0.5
984
Normal
-0.5
433
Tumor
-0.5
1025
Tumor
-0.5
211
Tumor
-0.5
358
Normal
-0.5
477
Tumor
-0.5
1043
Tumor
-0.5
955
Tumor
-0.5
923
Tumor
-0.5
695
Tumor
-0.5
387
Tumor
-0.5
467
Tumor
-0.5
857
Tumor
-0.5
951
Tumor
-0.5
571
Tumor
-0.5
351
Tumor
-0.5
413
Tumor
-0.5
361
Tumor
-0.5
525
Tumor
-0.6
481
Tumor
-0.6
258
Normal
-0.6
473
Tumor
-0.6
967
Tumor
-0.6
957
Tumor
-0.6
515
Tumor
-0.6
145
Tumor
-0.6
533
Tumor
-0.6
873
Tumor
-0.7
755
Tumor
-0.7
1013
Tumor
-0.7
267
Tumor
-0.7
497
Tumor
-0.7
271
Tumor
-0.7
341
Tumor
-0.7
861
Tumor
-0.7
1021
Tumor
-0.7
285
Tumor
-0.7
353
Tumor
-0.8
171
Tumor
-0.8
865
Tumor
-0.8
127
Tumor
-0.8
727
Tumor
-0.8
231
Tumor
-0.8
1031
Tumor
-0.8
123
Tumor
-0.8
867
Tumor
-0.8
721
Tumor
-0.9
357
Tumor
-0.9
537
Tumor
-0.9
411
Tumor
-0.9
443
Tumor
-0.9
724
Normal
-0.9
737
Tumor
-1.0
661
Tumor
-1.2
965
Tumor
-1.2
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.